Predicting haplogroups using a versatile machine learning program (PredYMaLe) on a new mutationally balanced 32 Y-STR multiplex (CombYplex): Unlocking the full potential of the human STR mutation rate spectrum to estimate forensic parameters
Titel:
Predicting haplogroups using a versatile machine learning program (PredYMaLe) on a new mutationally balanced 32 Y-STR multiplex (CombYplex): Unlocking the full potential of the human STR mutation rate spectrum to estimate forensic parameters
Auteur:
Bouakaze, Caroline Delehelle, Franklin Saenz-Oyhéréguy, Nancy Moreira, Andreia Schiavinato, Stéphanie Croze, Myriam Delon, Solène Fortes-Lima, Cesar Gibert, Morgane Bujan, Louis Huyghe, Eric Bellis, Gil Calderon, Rosario Hernández, Candela Lucia Avendaño-Tamayo, Efren Bedoya, Gabriel Salas, Antonio Mazières, Stéphane Charioni, Jacques Migot-Nabias, Florence Ruiz-Linares, Andres Dugoujon, Jean-Michel Thèves, Catherine Mollereau-Manaute, Catherine Noûs, Camille Poulet, Nicolas King, Turi D’Amato, Maria Eugenia Balaresque, Patricia